Welcome to my GitHub playground—where machine learning and deep data analytics come to life. I'm Mahyar Mehr, a Machine Learning Engineer & Data Scientist driven by a passion for crafting deep learning solutions that transform complex datasets into breakthrough insights. Here, I experiment with innovative algorithms and build predictive models that push the limits of what's possible with data.

This section provides a snapshot of my background, core skills, and contact details.

• Current Role: Machine Learning Engineer @ WODMotions
• Education: M.Sc. in Sports Technology (KTH Royal Institute of Technology, Stockholm) | B.Sc. in Sports Engineering (Azad University, Tehran)
• Technical Skills: Python, SQL, C++, MATLAB, TensorFlow, PyTorch, scikit-learn, and more
• Interests: Deep learning, time-series forecasting, and advanced predictive modeling
• Contact: [email protected] | LinkedIn

This section highlights the projects I'm currently developing, showcasing my expertise in real-time AI and ML applications.

• WODMotions AI Integration:
  Real-time movement recognition using DL, AWS, and agile ML pipelines.

• Freelance Time-Series Forecasting:
  Developed transformer-based forecasting models.

This section outlines my academic research.

• Exxentric ML Research: Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform
  Led the machine learning component at Exxentric AB, harnessing wearable sensor data to elevate fitness analytics. Engineered advanced supervised learning models using convolutional neural network layers to classify and classify movements accurately. Checkout my thesis: Link